On an Adobe Commerce Cloud platform, in which order does the ECE-Tools package apply patches?
Correct Answer:B
The order in which the ECE-Tools package applies patches is as follows:
✑ All required Magento patches included in the Cloud Patches for Commerce package.
✑ Selected optional Magento patches included in the Quality Patches Tool.
✑ Custom patches in the /m2-hotfixes directory in alphabetical order by patch name. The ECE-Tools package is a set of scripts and tools designed to manage and deploy Adobe Commerce Cloud projects. The Cloud Patches for Commerce package is a dependency of ECE-Tools that provides a set of required patches for Magento core issues that affect Adobe Commerce Cloud functionality. The Quality Patches Tool is an optional tool that allows developers to apply individual patches for specific Magento issues without waiting for a full product release. The /m2-hotfixes directory is a directory where developers can place their own custom patches for their Adobe Commerce Cloud projects. Verified References: [Magento 2.4 DevDocs]
When researching some issues with the indexer, an Adobe Commerce developer is seeing errors in the logs similar to Memory size allocated for the temporary table is more than 20% of innodb_buffer_pool_size. It is suggested that the client update innodb_buf f er_pool_size or decrease the batch size value.
Why does decreasing the batch size value improve performance?
Correct Answer:A
Decreasing the batch size value improves performance by reducing the memory usage for the temporary table. The batch size value determines how many rows of data are processed at a time by the indexer. A large batch size value can cause the allocated memory size for the temporary table to exceed 20% of innodb_buffer_pool_size, which can result in errors and slow down the indexing process. By lowering the batch size value, the indexer can process the data more efficiently and avoid memory issues. Verified References: [Magento 2.4 DevDocs] [Magento Stack Exchange]
The error message regarding innodb_buffer_pool_size indicates that the temporary table??s memory usage is high. Decreasing the batch size value directly reduces the number of rows processed in each batch, which in turn reduces the memory requirements for the temporary table.
✑ Impact of Batch Size on Memory Usage:
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✑ Why Option A is Correct:
✑ Recommendations:
: Magento DevDocs onIndexer Configuration and Troubleshooting MySQL Documentation onInnoDB Buffer Pool